default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKeiji Yanai
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j22]Kota Izumi
, Keiji Yanai:
CLIPFontDraw: Stylizing Fonts With CLIP. IEEE Access 12: 154811-154822 (2024)- [j21]Honghui Yuan, Keiji Yanai:
Multi-Style Shape Matching GAN for Text Images. IEICE Trans. Inf. Syst. 107(4): 505-514 (2024) - [c185]Jing Yang, Junwen Chen, Keiji Yanai:
Improving Cross-Modal Recipe Embeddings with Cross Decoder. ICDAR@ICMR 2024: 1-4 - [c184]Jing Yang, Junwen Chen, Keiji Yanai:
RecipeSD: Injecting Recipe into Food Image Synthesis with Stable Diffusion. MCGE@MM 2024: 54-62 - [c183]Junwen Chen, Yingcheng Wang, Keiji Yanai:
HOI as Embeddings: Advancements of Model Representation Capability in Human-Object Interaction Detection. MIPR 2024: 116-122 - [c182]Yuma Honbu, Keiji Yanai:
Training-Free Region Prediction with Stable Diffusion. MMM (4) 2024: 17-31 - 2023
- [c181]Yingcheng Wang, Junwen Chen, Keiji Yanai:
HowToEat: Exploring Human Object Interaction and Eating Action in Eating Scenarios. MADiMa@MM 2023: 71-78 - [c180]Kento Terauchi, Keiji Yanai:
CalorieCam360: Simultaneous Eating Action Recognition of Multiple People Using an Omnidirectional Camera. ICMR 2023: 644-648 - [c179]Stavroula G. Mougiakakou, Keiji Yanai, Dario Allegra:
MADiMa '23: 8th International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia 2023: 9726-9727 - [c178]Zhongtao Chen, Yuma Honbu, Keiji Yanai:
Mask-based Food Image Synthesis with Cross-Modal Recipe Embeddings. MMAsia 2023: 46:1-46:7 - [c177]Ryota Kaji, Keiji Yanai:
VQ-VDM: Video Diffusion Models with 3D VQGAN. MMAsia 2023: 90:1-90:5 - [c176]Jingbin Xu, Junwen Chen, Keiji Yanai:
Contextual Associated Triplet Queries for Panoptic Scene Graph Generation. MMAsia 2023: 100:1-100:5 - [c175]Jing Yang, Junwen Chen, Keiji Yanai:
Transformer-Based Cross-Modal Recipe Embeddings with Large Batch Training. MMM (2) 2023: 471-482 - [c174]Daiki Shimizu, Keiji Yanai:
Virtual Try-On Considering Temporal Consistency for Videoconferencing. MMM (2) 2023: 758-763 - [c173]Junwen Chen, Keiji Yanai:
QAHOI: Query-Based Anchors for Human-Object Interaction Detection. MVA 2023: 1-5 - [e5]Stavroula G. Mougiakakou, Keiji Yanai, Dario Allegra:
Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, MADiMa 2023, Ottawa, ON, Canada, 29 October 2023. ACM 2023 [contents] - [i8]Junwen Chen, Yingcheng Wang, Keiji Yanai:
Focusing on what to decode and what to train: Efficient Training with HOI Split Decoders and Specific Target Guided DeNoising. CoRR abs/2307.02291 (2023) - 2022
- [j20]Gibran Benitez-Garcia, Hiroki Takahashi, Keiji Yanai:
Material Translation Based on Neural Style Transfer with Ideal Style Image Retrieval. Sensors 22(19): 7317 (2022) - [j19]Leonel Rosas-Arias, Gibran Benitez-Garcia, José Portillo-Portillo, Jesus Olivares-Mercado, Gabriel Sanchez-Perez, Keiji Yanai:
FASSD-Net: Fast and Accurate Real-Time Semantic Segmentation for Embedded Systems. IEEE Trans. Intell. Transp. Syst. 23(9): 14349-14360 (2022) - [c172]Yuchen Qian, Kohei Yamamoto, Keiji Yanai:
StyleGAN-based CLIP-guided Image Shape Manipulation. CBMI 2022: 162-166 - [c171]Mana Takeda, Keiji Yanai:
Continual Learning in Vision Transformer. ICIP 2022: 616-620 - [c170]Yuma Honbu, Keiji Yanai:
Unseen Food Segmentation. ICMR 2022: 19-23 - [c169]Shu Naritomi, Keiji Yanai:
Real Scale Hungry Networks: Real Scale 3D Reconstruction of a Dish and a Plate using Implicit Function and a Single RGB-D Image. MADiMa @ ACM Multimedia 2022: 3-10 - [c168]Kohei Yamamoto, Keiji Yanai:
Text-based Image Editing for Food Images with CLIP. MADiMa @ ACM Multimedia 2022: 29-37 - [c167]Yuma Honbu, Keiji Yanai:
SetMealAsYouLike: Sketch-based Set Meal Image Synthesis with Plate Annotations. MADiMa @ ACM Multimedia 2022: 49-53 - [c166]Kento Adachi, Keiji Yanai:
DepthGrillCam: A Mobile Application for Real-time Eating Action Recording Using RGB-D Images. MADiMa @ ACM Multimedia 2022: 55-59 - [c165]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Dario Allegra:
MADiMa'22: 7th International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia 2022: 7414-7415 - [c164]Junwen Chen, Keiji Yanai:
Parallel Queries for Human-Object Interaction Detection. MMAsia 2022: 11:1-11:7 - [c163]Kota Izumi, Keiji Yanai:
Zero-Shot Font Style Transfer with a Differentiable Renderer. MMAsia 2022: 32:1-32:5 - [e4]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Dario Allegra:
Proceedings of the 7th International Workshop on Multimedia Assisted Dietary Management, MADiMa 2022, Lisboa, Portugal, 10 October 2022. ACM 2022, ISBN 978-1-4503-9502-1 [contents] - [e3]Shuqiang Jiang, Kiyoharu Aizawa, Phoebe Chen, Keiji Yanai:
Proceedings of the 4th ACM International Conference on Multimedia in Asia, MMAsia 2022, Tokyo, Japan, December 13-16, 2022. ACM 2022, ISBN 978-1-4503-9478-9 [contents] - [i7]Jing Yang, Junwen Chen, Keiji Yanai:
Transformer-based Cross-Modal Recipe Embeddings with Large Batch Training. CoRR abs/2205.04948 (2022) - 2021
- [c162]Kento Terauchi, Keiji Yanai:
Pose Sequence Generation with a GCN and an Initial Pose Generator. ACPR (1) 2021: 417-430 - [c161]Shu Naritomi, Gibran Benitez-Garcia, Keiji Yanai:
Ketchup As You Like: Drawing Editor for Foods. AIVR 2021: 207-209 - [c160]Kaimu Okamoto, Kento Adachi, Keiji Yanai:
Region-Based Food Calorie Estimation for Multiple-Dish Meals. CEA@ISMR 2021: 17-24 - [c159]Yuma Honbu, Keiji Yanai:
Few-Shot and Zero-Shot Semantic Segmentation for Food Images. CEA@ISMR 2021: 25-28 - [c158]Honghui Yuan, Keiji Yanai:
Multi-Style Transfer Generative Adversarial Network for Text Images. MIPR 2021: 63-69 - [c157]Shu Naritomi, Keiji Yanai:
Pop'n Food: 3D Food Model Estimation System from a Single Image. MIPR 2021: 223-226 - [c156]Gibran Benitez-Garcia, Keiji Yanai:
Ketchup GAN: A New Dataset for Realistic Synthesis of Letters on Food. MMArt&ACM@ICMR 2021: 8-12 - [c155]Shu Naritomi, Keiji Yanai:
3D Mesh Reconstruction of Foods from a Single Image. AIxFood @ ACM Multimedia 2021: 7-11 - [c154]Yu Sugiyama, Keiji Yanai:
Cross-Modal Recipe Embeddings by Disentangling Recipe Contents and Dish Styles. ACM Multimedia 2021: 2501-2509 - [i6]Junwen Chen, Keiji Yanai:
QAHOI: Query-Based Anchors for Human-Object Interaction Detection. CoRR abs/2112.08647 (2021) - 2020
- [j18]Wataru Shimoda, Keiji Yanai:
Weakly supervised semantic segmentation using distinct class specific saliency maps. Comput. Vis. Image Underst. 191: 102712 (2020) - [c153]Wataru Shimoda, Keiji Yanai:
Weakly-Supervised Plate And Food Region Segmentation. ICME 2020: 1-6 - [c152]Yuta Ide, Tsuyohito Araki, Ryunosuke Hamada, Kazunori Ohno, Keiji Yanai:
Rescue Dog Action Recognition by Integrating Ego-Centric Video, Sound and Sensor Information. ICPR Workshops (3) 2020: 321-333 - [c151]Kaimu Okamoto, Keiji Yanai:
UEC-FoodPix Complete: A Large-Scale Food Image Segmentation Dataset. ICPR Workshops (5) 2020: 647-659 - [c150]Mana Takeda, Gibran Benitez-Garcia, Keiji Yanai:
Training of Multiple and Mixed Tasks with a Single Network Using Feature Modulation. ICPR Workshops (2) 2020: 719-735 - [c149]Leonel Rosas-Arias, Gibran Benitez-Garcia, José Portillo-Portillo, Gabriel Sánchez-Pérez, Keiji Yanai:
Fast and Accurate Real-Time Semantic Segmentation with Dilated Asymmetric Convolutions. ICPR 2020: 2264-2271 - [c148]Gibran Benitez-Garcia, Jesus Olivares-Mercado, Gabriel Sanchez-Perez, Keiji Yanai:
IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition. ICPR 2020: 4340-4347 - [c147]Jaehyeong Cho, Wataru Shimoda, Keiji Yanai:
Mask-based Style-Controlled Image Synthesis Using a Mask Style Encoder. ICPR 2020: 5176-5183 - [c146]Keiji Yanai, Daichi Horita, Jaehyeong Cho:
Food Image Generation and Translation and Its Application to Augmented Reality. MIPR 2020: 181-186 - [c145]Gibran Benitez-Garcia, Wataru Shimoda, Keiji Yanai:
Style Image Retrieval for Improving Material Translation Using Neural Style Transfer. MMArt&ACM@ICMR 2020: 1-6 - [c144]Takuro Karamatsu, Gibran Benitez-Garcia, Keiji Yanai, Seiichi Uchida:
Iconify: Converting Photographs into Icons. MMArt&ACM@ICMR 2020: 7-12 - [c143]Shu Naritomi, Keiji Yanai:
Hungry networks: 3D mesh reconstruction of a dish and a plate from a single dish image for estimating food volume. MMAsia 2020: 22:1-22:7 - [c142]Sosuke Mizuno, Keiji Yanai:
UEC at TRECVID 2020: INS and ActEV. TRECVID 2020 - [c141]Shu Naritomi, Keiji Yanai:
CalorieCaptorGlass: Food Calorie Estimation based on Actual Size using HoloLens and Deep Learning. VR Workshops 2020: 819-820 - [i5]Takuro Karamatsu, Gibran Benitez-Garcia, Keiji Yanai, Seiichi Uchida:
Iconify: Converting Photographs into Icons. CoRR abs/2004.03179 (2020) - [i4]Gibran Benitez-Garcia, Jesus Olivares-Mercado, Gabriel Sanchez-Perez, Keiji Yanai:
IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition. CoRR abs/2005.02134 (2020)
2010 – 2019
- 2019
- [j17]Wataru Shimoda, Keiji Yanai:
Webly-Supervised Food Detection with Foodness Proposal. IEICE Trans. Inf. Syst. 102-D(7): 1230-1239 (2019) - [j16]Takumi Ege, Keiji Yanai:
Simultaneous Estimation of Dish Locations and Calories with Multi-Task Learning. IEICE Trans. Inf. Syst. 102-D(7): 1240-1246 (2019) - [j15]Benoit Huet, Qi Tian, Keiji Yanai:
Editorial for the ICMR 2018 special issue. Int. J. Multim. Inf. Retr. 8(1): 1-2 (2019) - [c140]Yuchen Wu, Runtong Zhang, Keiji Yanai:
Attention Guided Unsupervised Image-to-Image Translation with Progressively Growing Strategy. ACPR Workshops 2019: 85-99 - [c139]Asato Matsumoto, Keiji Yanai:
Continual Learning of Image Translation Networks Using Task-Dependent Weight Selection Masks. ACPR (2) 2019: 129-142 - [c138]Runtong Zhang, Yuchen Wu, Keiji Yanai:
Pre-trained and Shared Encoder in Cycle-Consistent Adversarial Networks to Improve Image Quality. ACPR (1) 2019: 312-325 - [c137]Daichi Horita, Keiji Yanai:
SSA-GAN: End-to-End Time-Lapse Video Generation with Spatial Self-Attention. ACPR (1) 2019: 625-638 - [c136]Keiji Yanai, Kaimu Okamoto, Tetsuya Nagano, Daichi Horita:
Large-Scale Twitter Food Photo Mining and Its Applications. BigMM 2019: 77-85 - [c135]Kaimu Okamoto, Keiji Yanai:
Analyzing Regional Food Trends with Geo-tagged Twitter Food Photos. CBMI 2019: 1-4 - [c134]Wataru Shimoda, Keiji Yanai:
Self-supervised Difference Detection for Refinement CRF and Seed Interpolation. CVPR Workshops 2019 - [c133]Zaira García-Nonoal, Keiji Yanai, Mariko Nakano, Antonio Arista-Jalife, Laura Cleofas-Sánchez, Héctor Pérez:
Mosquito Larvae Image Classification Based on DenseNet and Guided Grad-CAM. IbPRIA (2) 2019: 239-246 - [c132]Wataru Shimoda, Keiji Yanai:
Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation. ICCV 2019: 5207-5216 - [c131]Kizashi Nakano, Daichi Horita, Nobuchika Sakata, Kiyoshi Kiyokawa, Keiji Yanai, Takuji Narumi:
DeepTaste: Augmented Reality Gustatory Manipulation with GAN-Based Real-Time Food-to-Food Translation. ISMAR 2019: 212-223 - [c130]Gibran Benitez-Garcia, Wataru Shimoda, Shin Matsuo, Keiji Yanai:
Partial Image Texture Translation Using Weakly-Supervised Semantic Segmentation. JSAI-isAI Workshops 2019: 387-401 - [c129]Tetsuya Nagano, Takumi Ege, Wataru Shimoda, Keiji Yanai:
A Large-Scale Analysis of Regional Tendency of Twitter Photos Using Only Image Features. MIPR 2019: 185-188 - [c128]Takumi Ege, Yoshikazu Ando, Ryosuke Tanno, Wataru Shimoda, Keiji Yanai:
Image-Based Estimation of Real Food Size for Accurate Food Calorie Estimation. MIPR 2019: 274-279 - [c127]Daichi Horita, Wataru Shimoda, Keiji Yanai:
Unseen Food Creation by Mixing Existing Food Images with Conditional StyleGAN. MADiMa @ ACM Multimedia 2019: 19-24 - [c126]Yoshikazu Ando, Takumi Ege, Jaehyeong Cho, Keiji Yanai:
DepthCalorieCam: A Mobile Application for Volume-Based FoodCalorie Estimation using Depth Cameras. MADiMa @ ACM Multimedia 2019: 76-81 - [c125]Takumi Ege, Wataru Shimoda, Keiji Yanai:
A New Large-scale Food Image Segmentation Dataset and Its Application to Food Calorie Estimation Based on Grains of Rice. MADiMa @ ACM Multimedia 2019: 82-87 - [c124]Jaehyeong Cho, Wataru Shimoda, Keiji Yanai:
Ramen as You Like: Sketch-based Food Image Generation and Editing. ACM Multimedia 2019: 2217-2218 - [c123]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Dario Allegra:
MADiMA'19: 5th International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia 2019: 2722-2723 - [c122]Kizashi Nakano, Kiyoshi Kiyokawa, Daichi Horita, Keiji Yanai, Nobuchika Sakata, Takuji Narumi:
Enchanting Your Noodles: GAN-based Real-time Food-to-Food Translation and Its Impact on Vision-induced Gustatory Manipulation. VR 2019: 1096-1097 - [c121]Kizashi Nakano, Kiyoshi Kiyokawa, Daichi Horita, Keiji Yanai, Nobuchika Sakata, Takuji Narurni:
Enchanting Your Noodles: A Gustatory Manipulation Interface by Using GAN-based Real-time Food-to-Food Translation. VR 2019: 1339-1340 - [e2]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai:
Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, MADiMa @ ACM Multimedia 2019, Nice, France, October 21-25, 2019. ACM 2019, ISBN 978-1-4503-6916-9 [contents] - [i3]Wataru Shimoda, Keiji Yanai:
Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation. CoRR abs/1911.01370 (2019) - 2018
- [j14]Takumi Ege, Keiji Yanai:
Image-Based Food Calorie Estimation Using Recipe Information. IEICE Trans. Inf. Syst. 101-D(5): 1333-1341 (2018) - [j13]Nevrez Imamoglu, Wataru Shimoda, Chi Zhang, Yuming Fang, Asako Kanezaki, Keiji Yanai, Yoshifumi Nishida:
An integration of bottom-up and top-down salient cues on RGB-D data: saliency from objectness versus non-objectness. Signal Image Video Process. 12(2): 307-314 (2018) - [c120]Yu Sugiyama, Keiji Yanai:
Word-Conditioned Image Style Transfer. ACCV Workshops 2018: 88-99 - [c119]Atsushi Narusawa, Wataru Shimoda, Keiji Yanai:
Font Style Transfer Using Neural Style Transfer and Unsupervised Cross-domain Transfer. ACCV Workshops 2018: 100-109 - [c118]Shu Naritomi, Ryosuke Tanno, Takumi Ege, Keiji Yanai:
FoodChangeLens: CNN-Based Food Transformation on HoloLens. AIVR 2018: 197-199 - [c117]Takumi Ege, Keiji Yanai:
Multi-task learning of dish detection and calorie estimation. MADiMa@IJCAI 2018: 53-58 - [c116]Daichi Horita, Ryosuke Tanno, Wataru Shimoda, Keiji Yanai:
Food category transfer with conditional cycleGAN and a large-scale food image dataset. MADiMa@IJCAI 2018: 67-70 - [c115]Yoshifumi Ito, Wataru Shimoda, Keiji Yanai:
Food image generation using a large amount of food images with conditional GAN: ramenGAN and recipeGAN. MADiMa@IJCAI 2018: 71-74 - [c114]Ryosuke Tanno, Daichi Horita, Wataru Shimoda, Keiji Yanai:
Magical Rice Bowl: A Real-time Food Category Changer. ACM Multimedia 2018: 1244-1246 - [c113]Ryosuke Tanno, Takumi Ege, Keiji Yanai:
AR DeepCalorieCam: An iOS App for Food Calorie Estimation with Augmented Reality. MMM (2) 2018: 352-356 - [c112]Ryosuke Tanno, Takumi Ege, Keiji Yanai:
AR DeepCalorieCam V2: food calorie estimation with CNN and AR-based actual size estimation. VRST 2018: 46:1-46:2 - [c111]Daichi Horita, Jaehyeong Cho, Takumi Ege, Keiji Yanai:
Ramen spoon eraser: CNN-based photo transformation for improving attractiveness of ramen photos. VRST 2018: 115:1-115:2 - [i2]Nevrez Imamoglu, Wataru Shimoda, Chi Zhang, Yuming Fang, Asako Kanezaki, Keiji Yanai, Yoshifumi Nishida:
An Integration of Bottom-up and Top-Down Salient Cues on RGB-D Data: Saliency from Objectness vs. Non-Objectness. CoRR abs/1807.01532 (2018) - 2017
- [j12]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Edward Sazonov:
Guest Editorial Nutrition Informatics: From Food Monitoring to Dietary Management. IEEE J. Biomed. Health Informatics 21(3): 585-587 (2017) - [c110]Wataru Shimoda, Keiji Yanai:
Predicting Segmentation "Easiness" from the Consistency for Weakly-Supervised Segmentation. ACPR 2017: 292-297 - [c109]Takumi Ege, Keiji Yanai:
Estimating Food Calories for Multiple-Dish Food Photos. ACPR 2017: 646-651 - [c108]Shin Matsuo, Wataru Shimoda, Keiji Yanai:
Twitter Photo Geo-Localization Using Both Textual and Visual Features. BigMM 2017: 22-25 - [c107]Wataru Shimoda, Keiji Yanai:
Learning Food Image Similarity for Food Image Retrieval. BigMM 2017: 165-168 - [c106]Gantugs Atarsaikhan, Brian Kenji Iwana, Atsushi Narusawa, Keiji Yanai, Seiichi Uchida:
Neural Font Style Transfer. WML@ICDAR 2017: 51-56 - [c105]Toshiki Nakamura, Anna Zhu, Keiji Yanai, Seiichi Uchida:
Scene Text Eraser. ICDAR 2017: 832-837 - [c104]Takumi Ege, Keiji Yanai:
Comparison of Two Approaches for Direct Food Calorie Estimation. ICIAP Workshops 2017: 453-461 - [c103]Keiji Yanai:
Unseen Style Transfer Based on a Conditional Fast Style Transfer Network. ICLR (Workshop) 2017 - [c102]Shin Matsuo, Wataru Shimoda, Keiji Yanai:
Partial style transfer using weakly supervised semantic segmentation. ICME Workshops 2017: 267-272 - [c101]Keiji Yanai, Ryosuke Tanno:
Conditional Fast Style Transfer Network. ICMR 2017: 434-437 - [c100]Takumi Ege, Keiji Yanai:
Image-Based Food Calorie Estimation Using Knowledge on Food Categories, Ingredients and Cooking Directions. ACM Multimedia (Thematic Workshops) 2017: 367-375 - [c99]Ryosuke Tanno, Shin Matsuo, Wataru Shimoda, Keiji Yanai:
DeepStyleCam: A Real-Time Style Transfer App on iOS. MMM (2) 2017: 446-449 - [c98]Takumi Ege, Keiji Yanai:
Simultaneous estimation of food categories and calories with multi-task CNN. MVA 2017: 198-201 - [i1]Toshiki Nakamura, Anna Zhu, Keiji Yanai, Seiichi Uchida:
Scene Text Eraser. CoRR abs/1705.02772 (2017) - 2016
- [j11]Do Hang Nga, Keiji Yanai:
Automatic Retrieval of Action Video Shots from the Web Using Density-Based Cluster Analysis and Outlier Detection. IEICE Trans. Inf. Syst. 99-D(11): 2788-2795 (2016) - [j10]Takamu Kaneko, Keiji Yanai:
Event photo mining from Twitter using keyword bursts and image clustering. Neurocomputing 172: 143-158 (2016) - [c97]Takao Kakimori, Makoto Okabe, Keiji Yanai, Rikio Onai:
A System to Help Amateurs Take Pictures of Delicious Looking Food. BigMM 2016: 456-461 - [c96]Wataru Shimoda, Keiji Yanai:
Distinct Class-Specific Saliency Maps for Weakly Supervised Semantic Segmentation. ECCV (4) 2016: 218-234 - [c95]Wataru Shimoda, Keiji Yanai:
Weakly-supervised segmentation by combining CNN feature maps and object saliency maps. ICPR 2016: 1935-1940 - [c94]Shin Matsuo, Keiji Yanai:
CNN-based Style Vector for Style Image Retrieval. ICMR 2016: 309-312 - [c93]Wataru Shimoda, Keiji Yanai:
Foodness Proposal for Multiple Food Detection by Training of Single Food Images. MADiMa @ ACM Multimedia 2016: 13-21 - [c92]Koichi Okamoto, Keiji Yanai:
An Automatic Calorie Estimation System of Food Images on a Smartphone. MADiMa @ ACM Multimedia 2016: 63-70 - [c91]Ryosuke Tanno, Koichi Okamoto, Keiji Yanai:
DeepFoodCam: A DCNN-based Real-time Mobile Food Recognition System. MADiMa @ ACM Multimedia 2016: 89 - [c90]Keiji Yanai, Ryosuke Tanno, Koichi Okamoto:
Efficient Mobile Implementation of A CNN-based Object Recognition System. ACM Multimedia 2016: 362-366 - [c89]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai:
Overview of the ACM MultiMedia 2016 International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia 2016: 1489-1490 - [c88]Koichi Okamoto, Keiji Yanai:
GrillCam: A Real-Time Eating Action Recognition System. MMM (2) 2016: 331-335 - [c87]Ryosuke Tanno, Keiji Yanai:
Caffe2C: A Framework for Easy Implementation of CNN-based Mobile Applications. MobiQuitous (Adjunct Proceedings) 2016: 159-164 - [c86]Natsagdorj Choijilsuren, Keiji Yanai:
UEC at TRECVID 2016 AVS task. TRECVID 2016 - [c85]Takamu Kaneko, Keiji Yanai:
Visual Event Mining from the Twitter Stream. WWW (Companion Volume) 2016: 51-52 - [e1]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai:
Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management, MADiMa @ ACM Multimedia 2016, Amsterdam, The Netherlands, October 16, 2016. ACM 2016, ISBN 978-1-4503-4520-0 [contents] - 2015
- [j9]Do Hang Nga, Keiji Yanai:
VisualTextualRank: An Extension of VisualRank to Large-Scale Video Shot Extraction Exploiting Tag Co-occurrence. IEICE Trans. Inf. Syst. 98-D(1): 166-172 (2015) - [j8]Yoshiyuki Kawano, Keiji Yanai:
FoodCam: A real-time food recognition system on a smartphone. Multim. Tools Appl. 74(14): 5263-5287 (2015) - [c84]Yoshiyuki Kawano, Keiji Yanai:
Low-bit representation of linear classifier weights for mobile large-scale image classification. ACPR 2015: 489-493 - [c83]Wataru Shimoda, Keiji Yanai:
CNN-Based Food Image Segmentation Without Pixel-Wise Annotation. ICIAP Workshops 2015: 449-457 - [c82]Wataru Shimoda, Keiji Yanai:
A visual analysis on recognizability and discriminability of onomatopoeia words with DCNN features. ICME 2015: 1-6 - [c81]Keiji Yanai, Yoshiyuki Kawano:
Food image recognition using deep convolutional network with pre-training and fine-tuning. ICME Workshops 2015: 1-6 - [c80]Takamu Kaneko, Do Hang Nga, Keiji Yanai:
Twitter Event Photo Detection Using both Geotagged Tweets and Non-geotagged Photo Tweets. PCM (2) 2015: 128-138 - [c79]Do Hang Nga, Keiji Yanai:
Automatic Construction of Action Datasets Using Web Videos with Density-Based Cluster Analysis and Outlier Detection. PSIVT 2015: 160-172 - [c78]Takao Kakimori, Makoto Okabe, Keiji Yanai, Rikio Onai:
A system to support the amateurs to take a delicious-looking picture of foods. SIGGRAPH Asia Mobile Graphics and Interactive Applications 2015: 28:1 - 2014
- [j7]Do Hang Nga, Keiji Yanai:
Automatic extraction of relevant video shots of specific actions exploiting Web data. Comput. Vis. Image Underst. 118: 2-15 (2014) - [j6]Keiji Yanai, Takuma Maruyama, Yoshiyuki Kawano:
A Cooking Recipe Recommendation System with Visual Recognition of Food Ingredients. Int. J. Interact. Mob. Technol. 8(2): 28-34 (2014) - [j5]Yoshiyuki Kawano, Keiji Yanai:
ILSVRC on a Smartphone. Inf. Media Technol. 9(3): 371-375 (2014) - [j4]Yoshiyuki Kawano, Keiji Yanai:
ILSVRC on a Smartphone. IPSJ Trans. Comput. Vis. Appl. 6: 83-87 (2014) - [c77]Do Hang Nga, Keiji Yanai:
Hand Detection and Tracking in Videos for Fine-Grained Action Recognition. ACCV Workshops (1) 2014: 19-34 - [c76]Yoshiyuki Kawano, Keiji Yanai:
Offline 1000-Class Classification on a Smartphone. CVPR Workshops 2014: 193-194 - [c75]Yoshiyuki Kawano, Keiji Yanai:
Automatic Expansion of a Food Image Dataset Leveraging Existing Categories with Domain Adaptation. ECCV Workshops (3) 2014: 3-17 - [c74]Yoshiyuki Kawano, Keiji Yanai:
Food image recognition with deep convolutional features. UbiComp Adjunct 2014: 589-593 - [c73]Koichi Okamoto, Keiji Yanai:
Real-time eating action recognition system on a smartphone. ICME Workshops 2014: 1-6 - [c72]Keiji Yanai, Takamu Kaneko, Yoshiyuki Kawano:
Real-Time Photo Mining from the Twitter Stream: Event Photo Discovery and Food Photo Detection. ISM 2014: 295-302 - [c71]Yoshiyuki Kawano, Keiji Yanai:
FoodCam-256: A Large-scale Real-time Mobile Food RecognitionSystem employing High-Dimensional Features and Compression of Classifier Weights. ACM Multimedia 2014: 761-762 - [c70]Yoshiyuki Kawano, Keiji Yanai:
FoodCam: A Real-Time Mobile Food Recognition System Employing Fisher Vector. MMM (2) 2014: 369-373 - [c69]Do Hang Nga, Keiji Yanai:
A Dense SURF and Triangulation Based Spatio-temporal Feature for Action Recognition. MMM (1) 2014: 375-387 - [c68]Keiji Yanai, Yoshiyuki Kawano:
Twitter Food Photo Mining and Analysis for One Hundred Kinds of Foods. PCM 2014: 22-32 - [c67]Keiji Yanai, Hiroyoshi Harada, Do Hang Nga:
UEC at TRECVID 2014 SIN task. TRECVID 2014 - 2013
- [c66]Yoshiyuki Kawano, Keiji Yanai:
Rapid Mobile Object Recognition Using Fisher Vector. ACPR 2013: 476-480 - [c65]Yoshiyuki Kawano, Keiji Yanai:
Real-Time Mobile Food Recognition System. CVPR Workshops 2013: 1-7 - [c64]Do Hang Nga, Keiji Yanai:
A Spatio-temporal Feature Based on Triangulation of Dense SURF. ICCV Workshops 2013: 420-427 - [c63]Takamu Kaneko, Hiroyoshi Harada, Keiji Yanai:
[Demo paper] twitter visual event mining system. ICME Workshops 2013: 1-2 - [c62]Takamu Kaneko, Keiji Yanai:
Visual event mining from geo-tweet photos. ICME Workshops 2013: 1-6 - [c61]Yoshiyuki Kawano, Takanori Sato, Takuma Maruyama, Keiji Yanai:
[Demo paper] mirurecipe: A mobile cooking recipe recommendation system with food ingredient recognition. ICME Workshops 2013: 1-2 - [c60]Keiji Yanai, Do Hang Nga:
UEC, Tokyo at MediaEval 2013 Retrieving Diverse Social Images Task. MediaEval 2013 - [c59]Do Hang Nga, Keiji Yanai:
Large-scale web video shot ranking based on visual features and tag co-occurrence. ACM Multimedia 2013: 525-528 - [c58]Yuya Kohara, Keiji Yanai:
Visual Analysis of Tag Co-occurrence on Nouns and Adjectives. MMM (1) 2013: 47-57 - [c57]Masaya Okamoto, Keiji Yanai:
Summarization of Egocentric Moving Videos for Generating Walking Route Guidance. PSIVT 2013: 431-442 - 2012
- [c56]Do Hang Nga, Keiji Yanai:
Automatic collection of Web video shots corresponding to specific actions using Web images. CVPR Workshops 2012: 15-20 - [c55]Yuji Matsuda, Hajime Hoashi, Keiji Yanai:
Recognition of Multiple-Food Images by Detecting Candidate Regions. ICME 2012: 25-30 - [c54]Yusuke Nakaji, Keiji Yanai:
Visualization of Real-World Events with Geotagged Tweet Photos. ICME Workshops 2012: 272-277 - [c53]Yuji Matsuda, Keiji Yanai:
Multiple-food recognition considering co-occurrence employing manifold ranking. ICPR 2012: 2017-2020 - [c52]Keiji Yanai:
World seer: a realtime geo-tweet photo mapping system. ICMR 2012: 65 - [c51]Takuma Maruyama, Yoshiyuki Kawano, Keiji Yanai:
Real-time mobile recipe recommendation system using food ingredient recognition. IMMPD@ACM Multimedia 2012: 27-34 - [c50]Kazuya Hizume, Keiji Yanai:
UEC at TRECVID 2012 SIN and MED task. TRECVID 2012 - 2011
- [c49]Do Hang Nga, Keiji Yanai:
Automatic construction of an action video shot database using web videos. ICCV 2011: 527-534 - [c48]Kazuya Hizume, Keiji Yanai:
UEC at TRECVID 2011 SIN and MED task. TRECVID 2011 - [c47]Hidetoshi Kawakubo, Keiji Yanai:
GeoVisualRank: a ranking method of geotagged imagesconsidering visual similarity and geo-location proximity. WWW (Companion Volume) 2011: 69-70 - 2010
- [c46]Keita Yaegashi, Keiji Yanai:
Geotagged Image Recognition by Combining Three Different Kinds of Geolocation Features. ACCV (2) 2010: 360-373 - [c45]Akitsugu Noguchi, Keiji Yanai:
A SURF-Based Spatio-Temporal Feature for Feature-Fusion-Based Action Recognition. ECCV Workshops (1) 2010: 153-167 - [c44]Keita Yaegashi, Keiji Yanai:
Geotagged Photo Recognition Using Corresponding Aerial Photos with Multiple Kernel Learning. ICPR 2010: 3272-3275 - [c43]Hajime Hoashi, Taichi Joutou, Keiji Yanai:
Image Recognition of 85 Food Categories by Feature Fusion. ISM 2010: 296-301 - [c42]Hidetoshi Kawakubo, Yuuta Akima, Keiji Yanai:
Automatic Construction of a Folksonomy-Based Visual Ontology. ISM 2010: 330-335 - [c41]Keiji Yanai, Kobus Barnard:
Region-based automatic web image selection. Multimedia Information Retrieval 2010: 305-312 - [c40]Yasushi Shimoda, Akitsugu Noguchi, Keiji Yanai:
UEC at TRECVID 2010 Semantic Indexing Task. TRECVID 2010 - [p1]Keiji Yanai, Bingyu Qiu:
Mining Regional Representative Photos from Consumer-Generated Geotagged Photos. Handbook of Social Network Technologies 2010: 303-316
2000 – 2009
- 2009
- [c39]Akitsugu Noguchi, Keiji Yanai:
Extracting Spatio-temporal Local Features Considering Consecutiveness of Motions. ACCV (2) 2009: 458-467 - [c38]Keiji Yanai, Hidetoshi Kawakubo, Bingyu Qiu:
A visual analysis of the relationship between word concepts and geographical locations. CIVR 2009 - [c37]Taichi Joutou, Keiji Yanai:
A food image recognition system with Multiple Kernel Learning. ICIP 2009: 285-288 - [c36]Keiji Yanai:
Web image gathering with region-based bag-of-features and multiple instance learning. ICME 2009: 450-453 - [c35]Hidetoshi Kawakubo, Keiji Yanai:
An analysis of the relation between visual concepts and geo-locations using geotagged images on the web. ICME 2009: 1644-1647 - [c34]Keiji Yanai, Keita Yaegashi, Bingyu Qiu:
Detecting cultural differences using consumer-generated geotagged photos. LocWeb 2009: 12 - [c33]Akio Kitahara, Keiji Yanai:
Detecting "In-Play" Photos in Sports News Photo Database. PCM 2009: 268-279 - [c32]Keita Yaegashi, Keiji Yanai:
Can Geotags Help Image Recognition?. PSIVT 2009: 361-373 - [c31]Zhiyuan Tang, Akitsugu Noguchi, Keiji Yanai:
UEC at TRECVID 2009 High Level Feature Task. TRECVID 2009 - [c30]Keiji Yanai, Bingyu Qiu:
Mining cultural differences from a large number of geotagged photos. WWW 2009: 1173-1174 - 2008
- [c29]Akio Kitahara, Taichi Joutou, Keiji Yanai:
Associating Faces and Names in Japanese Photo News Articles on the Web. AINA Workshops 2008: 1156-1161 - [c28]Keisuke Takada, Keiji Yanai:
Web video retrieval based on the Earth Mover's Distance by integrating color, motion and sound. ICIP 2008: 89-92 - [c27]Keiji Yanai:
Web image selection with PLSA. ICME 2008: 1373-1376 - [c26]Akitsugu Noguchi, Keiji Yanai:
Rushes summarization based on color, motion and face. TVS 2008: 139-143 - [c25]Keiji Yanai:
Web Image Gathering with a Part-Based Object Recognition Method. MMM 2008: 297-306 - [c24]Bingyu Qiu, Keiji Yanai:
Objects over the World. PCM 2008: 296-305 - [c23]Zhiyuan Tang, Keiji Yanai:
UEC at TRECVID 2008 High Level Feature Task. TRECVID 2008 - [c22]Keiji Yanai:
Automatic web image selection with a probabilistic latent topic model. WWW 2008: 1237-1238 - 2007
- [c21]Tatsuya Iyota, Keiji Yanai:
The Photo News Flusher: A Photo-News Clustering Browser. PCM 2007: 462-466 - [c20]Ounan Liu, Zhiyuan Tang, Keiji Yanai:
UEC at TRECVID 2007 High Level Feature Task. TRECVID 2007 - [c19]Keiji Yanai:
Image collector III: a web image-gathering system with bag-of-keypoints. WWW 2007: 1295-1296 - 2006
- [c18]Kobus Barnard, Keiji Yanai, Matthew Johnson, Prasad Gabbur:
Cross Modal Disambiguation. Toward Category-Level Object Recognition 2006: 238-257 - [c17]Keiji Yanai, Takehisa Hayashiyama:
Automatic "Go" record generation from a TV program. MMM 2006 - [c16]Keiji Yanai, Kobus Barnard:
Finding visual concepts by web image mining. WWW 2006: 923-924 - 2005
- [j3]Keiji Yanai:
Image Collector II: A System to Gather a Large Number of Images from the Web. IEICE Trans. Inf. Syst. 88-D(10): 2432-2436 (2005) - [c15]Keiji Yanai, Kobus Barnard:
Probabilistic web image gathering. Multimedia Information Retrieval 2005: 57-64 - [c14]Keiji Yanai, Nikhil V. Shirahatti, Prasad Gabbur, Kobus Barnard:
Evaluation strategies for image understanding and retrieval. Multimedia Information Retrieval 2005: 217-226 - [c13]Keiji Yanai, Kobus Barnard:
Image region entropy: a measure of "visualness" of web images associated with one concept. ACM Multimedia 2005: 419-422 - [c12]Keiji Yanai, Ounan Liu, Yuki Tsujita:
UEC at TRECVID 2005 High Level Feature Task - Web Images Meet TRECVID. TRECVID 2005 - 2004
- [j2]Keiji Yanai, Masaya Shindo, Kohei Noshita:
A fast image-gathering system from the World-Wide Web using a PC cluster. Image Vis. Comput. 22(1): 59-71 (2004) - 2003
- [c11]Keiji Yanai:
Image collector II: a system for gathering more than one thousand images from the Web for one keyword. ICME 2003: 785-788 - [c10]Keiji Yanai:
Generic image classification using visual knowledge on the web. ACM Multimedia 2003: 167-176 - [c9]Keiji Yanai:
Image Collector II : An Over-One-Thousand-Image-Gathering System. WWW (Posters) 2003 - [c8]Keiji Yanai:
Web Image Mining toward Generic Image Recognition. WWW (Posters) 2003 - 2002
- [j1]Keiji Yanai, Koichiro Deguchi:
Recognition of indoor images employing supporting relation between objects. Syst. Comput. Jpn. 33(11): 14-26 (2002) - [c7]Keiji Yanai:
An Experiment on Generic Image Classification Using Web Images. IEEE Pacific Rim Conference on Multimedia 2002: 303-310 - [c6]Keiji Yanai:
Image Classification by Web Images. PRICAI 2002: 613-614 - 2001
- [c5]Keiji Yanai:
Image Collector: An Image-Gathering System From The World-Wide Web Employing Keyword-Based Search Engines. ICME 2001 - [c4]Keiji Yanai, Masaya Shindo, Kohei Noshita:
A Fast Image-Gathering System on the World-Wide Web Using a PC Cluster. Web Intelligence 2001: 324-334 - 2000
- [c3]Keiji Yanai, Koichiro Deguchi:
Recognition of Indoor Images Employing Qualitative Model Fitting and Supporting Relation between Objects. ICPR 2000: 1964-1967 - [c2]Keiji Yanai, Koichiro Deguchi:
A Multi-Resolution Image Understanding System Based on Multi-agent Architecture for High-Resolution Images. MVA 2000: 291-294
1990 – 1999
- 1998
- [c1]Keiji Yanai, Koichiro Deguchi:
An architecture of object recognition system for various images based on multi-agents. ICPR 1998: 278-281
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 21:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
